MadryLab / datamodels
☆22Updated last year
Related projects ⓘ
Alternatives and complementary repositories for datamodels
- Data for "Datamodels: Predicting Predictions with Training Data"☆90Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆52Updated last year
- ☆59Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆42Updated last year
- ☆55Updated 4 years ago
- Distilling Model Failures as Directions in Latent Space☆45Updated last year
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆19Updated 10 months ago
- ☆25Updated 4 months ago
- ☆16Updated last year
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated last year
- ☆61Updated 3 years ago
- ☆34Updated last year
- Pytorch Datasets for Easy-To-Hard☆25Updated 2 years ago
- A simple PyTorch implementation of influence functions.☆79Updated 4 months ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆61Updated 8 months ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆70Updated last year
- ☆32Updated 9 months ago
- ☆17Updated 2 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 3 years ago
- Host CIFAR-10.2 Data Set☆13Updated 3 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆66Updated 5 months ago
- ☆26Updated last week
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆13Updated 9 months ago
- ☆23Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆40Updated last year
- ☆96Updated 2 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 4 years ago
- ☆41Updated last year
- Implementation of Influence Function approximations for differently sized ML models, using PyTorch☆15Updated last year